A model specialization method for machine learning (ML) based compiler optimization includes: compiling a program by a compiler, wherein the compiler is executed by a processor; generating a specialized model according to an original model derived from a developer side and one of reinforcement learning (RL) based compiler optimization and supervised learning based compiler optimization; and utilizing the specialized model for compilation, and returning executables.